The Battery Show Europe 2025

Capturing and understanding the origin and characteristics of raw materials has become essential for research and development in advanced battery R&D. This talk will highlight how a comprehensive data management system—the Albert Platform—can track and predict performance of battery materials from procurement through cell testing.

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This enables researchers to correlate material quality and property differences to battery performance in a harmonized data system. This approach not only offers visibility into how variations in material synthesis affects performance but also supports researchers in complex multi-step processes which are difficult to trace in battery development.

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By linking raw materials, processing, formulation, coating, and cell fabrication, Albert provides the clean, structured database perfectly suited for AI-driven optimization. We will provide a demonstration of how formulation and AI optimization of novel electrolytes is possible, along with regulatory SDS generation, and automated reporting of key properties of the process.